A New Monocular Pose Estimation Method for the Coplanar P4P Problem

The Perspective of N Points (PNP) problem in optical measurement and machine vision is to estimate the pose parameters of an object by a monocular image. For traditional coplanar P4P methods, the four points must have known coordinates or be a rectangle’s four vertices. In this paper, a new method o...

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Main Authors: Xudong Yu, Yang Shang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/1/183
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author Xudong Yu
Yang Shang
author_facet Xudong Yu
Yang Shang
author_sort Xudong Yu
collection DOAJ
description The Perspective of N Points (PNP) problem in optical measurement and machine vision is to estimate the pose parameters of an object by a monocular image. For traditional coplanar P4P methods, the four points must have known coordinates or be a rectangle’s four vertices. In this paper, a new method of the P4P problem for parallelogram objects without shape parameters is proposed to solve the objects’ pose and shape parameters based on the parallelogram vertices’ relative coordinate constraints. The correctness and effectiveness of the method have been verified through experiments. In addition to being used to estimate a parallelogram object’s pose and shape, the new method extends the conclusions of the coplanar P4P problem when the four points are a parallelogram’s four vertices.
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spelling doaj.art-8735d99f32474806ba113782faae92aa2023-11-16T14:51:57ZengMDPI AGApplied Sciences2076-34172022-12-0113118310.3390/app13010183A New Monocular Pose Estimation Method for the Coplanar P4P ProblemXudong Yu0Yang Shang1College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, ChinaCollege of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, ChinaThe Perspective of N Points (PNP) problem in optical measurement and machine vision is to estimate the pose parameters of an object by a monocular image. For traditional coplanar P4P methods, the four points must have known coordinates or be a rectangle’s four vertices. In this paper, a new method of the P4P problem for parallelogram objects without shape parameters is proposed to solve the objects’ pose and shape parameters based on the parallelogram vertices’ relative coordinate constraints. The correctness and effectiveness of the method have been verified through experiments. In addition to being used to estimate a parallelogram object’s pose and shape, the new method extends the conclusions of the coplanar P4P problem when the four points are a parallelogram’s four vertices.https://www.mdpi.com/2076-3417/13/1/183machine visionpose estimationP4P problemparallelogram object
spellingShingle Xudong Yu
Yang Shang
A New Monocular Pose Estimation Method for the Coplanar P4P Problem
Applied Sciences
machine vision
pose estimation
P4P problem
parallelogram object
title A New Monocular Pose Estimation Method for the Coplanar P4P Problem
title_full A New Monocular Pose Estimation Method for the Coplanar P4P Problem
title_fullStr A New Monocular Pose Estimation Method for the Coplanar P4P Problem
title_full_unstemmed A New Monocular Pose Estimation Method for the Coplanar P4P Problem
title_short A New Monocular Pose Estimation Method for the Coplanar P4P Problem
title_sort new monocular pose estimation method for the coplanar p4p problem
topic machine vision
pose estimation
P4P problem
parallelogram object
url https://www.mdpi.com/2076-3417/13/1/183
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AT yangshang newmonocularposeestimationmethodforthecoplanarp4pproblem